Efficient and Stable Fully Dynamic Facility Location
Not on the map. Why?
Abstract (arXiv)
We consider the classic facility location problem in fully dynamic data streams, where elements can be both inserted and deleted. In this problem, one is interested in maintaining a stable and high quality solution throughout the data stream while using only little time per update (insertion or deletion). We study the problem and provide the first algorithm that at the same time maintains a constant approximation and incurs polylogarithmic amortized recourse per update. We complement our theoretical results with an experimental analysis showing the practical efficiency of our method.
Key facts. Cited by 3 papers in the map (data through 14 Oct 2026). First posted on arXiv 25 Oct 2022.
Builds on
No reference list yet.
Built on by
Citing papers per year: 2023: 1; 2024: 1; 2025: 1.
3 papers.
- 2024Consistent Submodular Maximizationcited by 2
- 2023Dynamic algorithms for k-center on graphscited by 0
- 2025Clustering with Label Consistencycited by 0
- 2025Clustering with Label Consistency22 Dec 2025
- 2024Consistent Submodular Maximization30 May 2024
- 2023Dynamic algorithms for k-center on graphs28 Jul 2023